Abstract
Over the recent years, the field of integrating human machine interface to power wheelchairs for autonomous driving control has gained great attention by the scientific and engineering communities. The fundamental objective of the human—wheelchair interface is to permit the individual to control the versatility of the seat in least exertion and with more vigour and security. A large variety of electric powered wheelchairs do not meet the needs of a substantial proportion of users because of requirement of muscle force and accuracy. An assistive component for executing well-heeled wheelchair motion for seriously incapacitated individuals is introduced. For making the lives of disabled people easier and less dependent, the wheelchair has been incorporated with eye control interface for the movement and direction control. For the safety of the patient, obstacle avoidance and fall alert mechanisms have been included. Also, body temperature and heart rate are two parameters that are considered for health monitoring of the patient.
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Patel, I., Sethi, K., Kaul, S., Soumya, Jindal, S.K. (2023). Smart Wheelchair Management System for Disabled People. In: Nath, V., Mandal, J.K. (eds) Microelectronics, Communication Systems, Machine Learning and Internet of Things. Lecture Notes in Electrical Engineering, vol 887. Springer, Singapore. https://doi.org/10.1007/978-981-19-1906-0_26
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DOI: https://doi.org/10.1007/978-981-19-1906-0_26
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